Phase Retrieval using Single-Instance Deep Generative Prior

This addresses phase retrieval for complex-valued crystal data, an incremental improvement over existing deep learning methods that require precise support information.

The authors tackled the problem of phase retrieval on realistic complex-valued crystal data, where existing deep learning methods often fail without precise support information, and proposed a novel method based on single-instance deep generative prior that works well on such data.